摘要
讨论了不同形式自适应神经元控制算法的控制效果,针对水位过程特性,给出一种适宜的算法形式,并在改进传统三冲量系统设计的基础上,给出三冲量汽包水位自适应神经元控制算法及其进一步改善.
In this paper, the limitations and control effects of the different adaptive neural network control algorithms are discussed and an appropriate algorithm form is given according to the properties of the water-level procedure. The triple-impulse adaptive neural control algorithm for the boiler water-level and the farther improvement are given on the basis of adjusting traditional triple-impulse system.
出处
《中国矿业大学学报》
EI
CAS
CSCD
北大核心
1996年第3期43-47,共5页
Journal of China University of Mining & Technology
关键词
三冲量锅炉
汽包水位
自适应神经元
锅炉
控制法
adaptive neural control, progressive learning, triple-impulse system, non-self-balanced matrix